Opening new directions in research in both discrete event dynamic systems as well as in stochastic control, this volume focuses on a wide class of control and of optimization problems over sequences of integer numbers. This is a counterpart of convex optimization in the setting of discrete optimization. The theory developed is applied to the control of stochastic discrete-event dynamic systems. Some applications are admission, routing, service allocation and vacation control in queuing... Topics: Networks, "
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This textbook came from a frustration of its main author. Many authors chose to write a textbook because there are no textbooks in their field or because they are not satisfied with the existing textbooks. This frustration has produced several excellent textbooks in the networking community. The frustrations that motivated this book are different. When the main author started to teach networking in the late 1990s, students were already Internet users, but their usage was limited. Students were... Topic: Computer Networks
Support materials for the "Technology of Communication Networks" course of the MSc in Communication Networks Engineering of IST. Program Communication networks technologies: access technologies based on metallic pair, coaxial cable, radio, optic fiber and power lines. Distribution of audio and video based on radio and satellite. Technologies LMDS, DAB and DVB. Protocols and interfaces associated to the different technologies. Home network technologies. Technological evolutions in the... Topic: Communication Networks
How to teach a computer? You can either write a fixed program – or you can enable the computer to learn on its own. Living beings do not have any programmer writing a program for developing their skills, which then only has to be executed. They learn by themselves – without the previous knowledge from external impressions – and thus can solve problems better than any computer today. What qualities are needed to achieve such a behavior for devices like computers? Can such cognition be... Topic: neural networks
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Contents: Introduction and summary 2. The phase transition that made us mammals 3. Maps and patterns of threshold-linear units 4. Validation of the lamination hypothesis 5. What do we need DG and CA1 for? 6. Infinite recursion and the origin of cognition 7. Reducing local networks to Potts units. Lecture Notes Collection FreeScience.info ID2245 Obtained from http://people.sissa.it/~ale/TrevesRoudi.pdf http://www.freescience.info/go.php?pagename=books&id=2245 Topics: Neural Networks, "
Wie kann man dem Computer etwas beibringen? Entweder, indem man ein starres Programm schreibt – oder, indem man ihm das Lernen ermöglicht. Lebende Wesen haben keinen Programmierer, der ihnen ein Programm für ihre Fähigkeiten schreibt, welches nur ausgeführt werden muss. Sie lernen – ohne Vorkenntnisse durch Eindrücke von außen – selber und kommen damit zu besseren Problemlösungen als jeder heutige Computer. Kann man solches Verhalten auch bei Maschinen wie Computern... Topic: neural Networks
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